Abstract:Exploiting task parallelism is getting increasingly difficult for diverse and complex scientific workflows running on High Performance Computing (HPC) systems. We argue that the difficulty rises from a void in the spectrum of existing data-transfer models for resolving inter-task data dependence within a workflow and propose a novel model, Ubique, to fill that gap. The Ubique model combines the best from in-transit and in situ models in order for loosely coupled producer and consumer tasks to run concurrently … Show more
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